ES52057: Econometrics for economics and finance
[Page last updated: 14 August 2024]
Academic Year: | 2024/25 |
Owning Department/School: | Department of Economics |
Credits: | 10 [equivalent to 20 CATS credits] |
Notional Study Hours: | 200 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CWRI 30%, EXCB 70% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: |
By the end of the course, students will be able to:
perform data transformations and diagnostic tests relevant to the analysis of time-series data.
demonstrate knowledge and understanding of statistical, graphical, and numerical data analyses.
identify the appropriate statistical models and techniques that are suitable for a particular type of time series data.
apply time-series econometrics to economic data using specialist econometric software.
assess, interpret and analyse empirical results obtained from the application of time-series econometric to economic data. |
Synopsis: | Explore econometric techniques to critically evaluate the assumptions and limitations of different time series modelsin the areas of economics and finance, and use them to make predictions about future values of the data.
You'll learn about the toolsand methods (such asunivariate and multivariate)that allow for the timing of observations. Throughout this unit, you'll focus on practical applications, using econometric software EViews, Stata and R. |
Content: | The material in this course will be delivered on campus. Every week a new topic is introduced. In addition to the lectures, students will have the opportunity to strengthen their comprehension of the material through the on-campus seminars and computer lab sessions. During the on-campus computer lab sessions and seminars a set of applied exercises related to the topic are solved and discussed with the students. |
Course availability: |
ES52057 is Compulsory on the following courses:Department of Economics
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Notes:
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